Decagon
Vertical AI · Customer support AI agents
Decagon currently has 42 active AI-related job listings. The majority of these roles, 88%, are focused on agents, with a smaller number in serving infrastructure and post-training. Engineering is the dominant function, with 32 positions, followed by product roles. The company is actively hiring in the United States and the United Kingdom. Recent hiring trends show a significant increase, with 16 new AI roles posted in the last 30 days, a 433% rise compared to the previous 30-day period.
Currently tracking 36 active AI roles, up 118% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $150k–$430k (avg $281k).
Vertical AI · Customer support AI agents
Decagon currently has 43 active AI-related roles in our index. The most common open titles are: Senior Agent Product Manager (4), Customer Engineer, Agent Builder - Spanish Speaking (3), Engineering Lead, Strategic Deals (2), Engineering Manager, Agents (2), Senior Research Engineer (2). Most positions are in Engineering and Product.
Decagon's active AI hiring is concentrated in: agents (88%), serving infrastructure (5%), post-training (5%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Decagon is hiring AI talent in: United States (33 roles), United Kingdom (6 roles), Germany (1 role), Canada (1 role).
Job postings at Decagon most frequently mention: Agentic Systems, Planning & Reasoning, System Design, Machine Learning, A/B Testing.
In the past 30 days, Decagon has posted 16 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Research Engineer, Voice + Speech Senior Research Engineer focused on developing and deploying voice and speech models for a conversational AI platform. The role involves leading research and engineering efforts to improve core conversational capabilities, build end-to-end models, and integrate them into production systems. Requires experience in post-training and deploying LLMs, Python, and ML tooling, with a track record of delivering production impact. | Post-trainServe | 9 |
| Staff Research Engineer, Voice + Speech Staff Research Engineer focused on improving voice and speech capabilities for conversational AI agents in production. The role involves leading research and engineering efforts for end-to-end models and pipelines, optimizing for quality, efficiency, and user experience, and integrating these models into production systems. Requires experience in post-training and deploying LLMs, Python, ML tooling, and a track record of delivering production impact. |
| Post-trainAgent |
| 9 |
| Senior Research Engineer, Voice + Speech Senior Research Engineer focused on improving voice and speech models for conversational AI agents in production. The role involves leading research and engineering efforts for end-to-end models and pipelines, optimizing for quality, efficiency, and user experience, and integrating these models into production systems. Requires experience in post-training and deploying LLMs, with a track record of delivering measurable production impact. | Post-trainAgent | 9 |
| Senior Software Engineer, ML Infrastructure Senior ML Infrastructure Engineer to own platforms for Decagon's model training and inference, including distributed training systems, inference architecture across multiple providers, and frameworks for research and product teams. Focus on technical depth, leading initiatives, and shaping ML stack architecture. | Post-trainServe | 9 |
| Product Manager, Research Product Manager for the Research team at Decagon, a conversational AI platform. This role will drive the research roadmap, focusing on model training, agent architecture, and evaluation systems to enhance AI agent capabilities for enterprise customers. The PM will translate customer needs into model requirements and collaborate with engineering to deliver impactful features. | Post-trainEval Gate | 9 |
| Staff Software Engineer, ML Infrastructure Staff Software Engineer, ML Infrastructure at Decagon, a conversational AI platform. The role focuses on building and owning platforms for model training (LLM and multimodal fine-tuning/post-training) and inference, including multi-provider routing and optimization. The team works at the intersection of research and production, translating ML models into scalable systems. | Post-trainServe | 9 |
| Staff Research Engineer, Voice Staff Research Engineer focused on developing and deploying real-time voice agents, leading research and engineering efforts for core conversational capabilities, and mentoring other team members. The role involves end-to-end ownership from prototype to production impact, with a focus on improving speech understanding, naturalness, and resilience. | Post-trainAgent | 9 |